The AI Engineering Bootcamp
"Dr. Greg" Loughnane
Co-Founder & CEO @ AI Makerspace (AIM)
Chris "The Wiz 🪄" Alexiuk
DL @ NVIDIA | Co-Founder & CTO @ AIM
Stop endlessly studying AI Engineering and not achieving your goals.
Are you a backend software engineer who has decided that it’s time to go all in on AI?
If so, welcome, you're in the right place.
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"condition": "if you are not a software engineer but want to become a backend ai engineer",
"action": "check out the ai engineer onramp"
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In 2026, we must learn how to:
Build software using AI
Build AI software
i.e.,
Build apps with coding agents
Build agents
In this course, we learn both, but spend the majority of our time on the latter.
There are only a few core patterns you need to master:
The secret: Build 🏗️, ship 🚢, share 🚀
What to build: Problem, success, audience, solution
How to build: Context Engineering (e.g., prompting, RAG/MCP, agents/multi-agent systems)
Systematic improvement: Build, evaluate, repeat
Master these and achieve your goals. It's that simple.
🏫 Our course:
Is a constant evolution. Check the changelog.
Culminates in Demo Day.
Has a tough certification process.
Does live instruction and interaction, not "flipped"
Has breakouts guided by experts
Provides personalized feedback on every HW
AI Makerspace is on a mission to create the world's leading community for people who want to build 🏗️, ship🚢, and share 🚀 production LLM applications.
What you’ll learn
Wield AI to build AI that creates ROI. Then, forget about cash/job security issues, and live your life! #unautomatable
Builders are great at building, but when they start sharing, they unlock the next level
Become the expert in the room during discussions about building production LLM applications
Learn to build industry-relevant $15k POCs in ~25 hours (+/- 15 hours)
While we don't need to know how the engine (the LLM) works, we need to know where to go and how to put gas in the tank (the context window)
Prompt engineering, RAG, agents, multi-agent systems, and fine-tuning are the fundamental AI-specific patterns we need to manage context
Once we're operating, it's all about removing and enhancing the right context at the right step in our agentic systems
It's more important to go deep on one set of best-practice tools, understand the fundamental concepts and code, and be able to switch later
We always choose the best OSS tools on the market, according to our own opinionated views
Trust that you'll be able to switch to (enter orchestration framework, cloud service provider, LLM hosting tool, OSS model, vector DB, etc.)
Who this course is for
Software engineers and developers who want to build, deploy, operate, and improve LLM apps in production environments.
The very best ML engineers who are pseudo-software engineers and have not lived in notebooks, and who want to build, deploy, ... etc.
What's included
Live sessions
Learn directly from "Dr. Greg" Loughnane & Chris "The Wiz 🪄" Alexiuk in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
Free lesson
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Context Engineering for Agents & Multi-Agent Systems
Context Engineering is the new...
Not just prompt engineering, but also RAG! Learn why this fundamentally makes intuitive sense for Generative AI
How agents with tools help us to enhance context
Enhancing search and retrieval is the primary job of agents with access to tools (and MCP servers!) today
How multi-agent systems enhance context
How tools like Deep Research offer insights into using parallelization to further scale context optimization
Schedule
Live sessions
4 hrs / week
We hold class every Tuesday and Thursday at 7-9 PM ET! It's important to show up live to these sessions, as you'll always get your questions answered and get ~35-50 minutes of live breakout room time to do your homework!
Projects
5-10 hrs / week
Weekly projects can be time-consuming, especially early on in the cohort, and even with the time spent live in class working on them. On average, you should budget about this much time. During Week 6, our Certification Challenge typically requires students 20-30 hours. During Weeks 9-10, Demo Day can also be quite time-consuming.
Instructor and Peer Supporter Office Hours
1-12 hrs / week
Each week, we will have our staff of 10 peer supporters (all Certified AI Engineers from the Bootcamp) and both instructors each hold an office hour. You can attend none or all of them, as you wish!
Success stories
- This course is truly the best out there; I've learned a ton, and it's already helping me immensely at work. It's proving invaluable for hiring for my open Gen AI Engineer positions and guiding team members.
Nishanth Nair
Director of Engineering @ Visa - I thought this cohort-based approach was the way to set accountability, and boy did you guys set a high bar! We had a very fast-paced 7 weeks, and the accountability did make it great. It all comes together at the end and makes sense.
André Fichel
CTO, Akad Seguros, ex-Apple | ex-Amazon - I didn't know what Google Colab was before I joined this course! I was so new to this domain. For an upcoming NetApp Hackathon I'm proposing to fine-tune LLMs, so you can see the difference 7 weeks has made! It's already created buzz at my workplace ... it was fun learning hands-on rather than textbook or 'strategy for AI implementation' stuff!
Monalisha Singh
Member of Technical Staff, NetApp; Software Engineer | Innovator | Women in Tech Advocate | Cloud & AI Enthusiast | Mentor - I'm amazed by the community, the product, and the value delivered to students. Most educational courses only give you knowledge but don't push you to build. AIM has perfected learning through building. I truly enjoyed every moment of this course. "You're gonna suffer but you're gonna be happy about it" from Harry Potter sums it up. Thanks!
Savrin Darash
Data Scientist @ CVS Health - Bravo for successfully finding the right balance between assignments, quizzes, and activities to complete in the notebooks. It's very well thought out and balanced! I joined the cohort 1 Demo Day and said to myself, "WOW this is what I need!" Let's join cohort 2!
Julien de Lambilly
Lead AI Architect, Digit8 Group SA; Full-Stack Developer and Data Scientist - You create a safe place to learn. To become somebody who is a doer, not just a knower, it means that you've got to BELIEVE that you can do it. And that's what this community does...It gives me the ability to believe in this, and to believe that 'I'm going to be DOING this!' and that's the best part.
Mike Chrabaszcz
Emerging Technology Researcher @ Crabash; Engineering Leader - People: Team Building; Process: Optimization; Product: Mobile, AI, IoT
Cohort 6 Student Highlight - Mo Afzaal
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Read more at https://thedataguy.pro/blog/2025/05/build-ship-share/
Frequently asked questions
Save 25% until Monday
$3,999
USD
4 cohorts